A dot plot is a simple chart that displays individual data points as dots along a number line, making it easy to spot clusters, gaps, and outliers in a dataset.
Dot plots are particularly useful for small to moderate datasets where each individual value matters. By stacking dots vertically above each value on the line, the chart shows how frequently certain values appear without grouping them into ranges. This makes dot plots a straightforward alternative to histograms or bar charts when the goal is to preserve individual data points rather than summarizing them into bins.
A dot plot typically consists of a horizontal axis representing a range of values and dots placed above each corresponding data point. When multiple data points share the same value, the dots stack vertically, creating a visual frequency distribution. This simplicity makes dot plots easy to read.
Two common variations exist:
It is important to note that the dot plot reflects individual opinions, not a formal commitment. Projections can shift as new economic data becomes available. The dot plot serves as a forward-looking indicator that helps markets and the public gauge the likely direction of where rates may go, but it should not be treated as a fixed plan.
Because each dot represents an individual participant's view, the chart also reveals the degree of disagreement within the committee. A wide spread of dots may signal uncertainty about the economic outlook, while a tight cluster may suggest greater confidence in the path ahead.